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This analysis delves into AI techniques, emphasizing patient education, clinical decision support, and multimodal data applications across all diabetes types. Explore the transformative possibilities for enhanced clinical care and health-service efficiency. Uncover the evidence, benefits, and potential challenges to scalable adoption, including data availability, health inequality, clinician hesitancy, and regulation. From clinicians to policymakers, stakeholders are urged to collaborate for the optimal integration of AI-supported diabetes care, navigating challenges while realizing the vast benefits on the horizon.
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